Microgrid Trading Game Model Based on Blockchain Technology and Optimized Particle Swarm Algorithm
Binyao Liu, Ming Wang, Jiakai Men, Dechang Yang
Abstract
With the increase in the number of microgrids and the maturity of technology, microgrids will also participate in power market bidding while ensuring their own consumption. This paper establishes a microgrid transaction model based on the blockchain platform and uses the Optimized Particle Swarm Algorithm (OPSO) to solve the optimal bidding strategy in the transaction, which achieves the respective profit optimization of each subject. The model proposed in this paper realizes the organic integration of blockchain and microgrid to solve the problem of underutilization of energy in a microgrid gaming competition. The proposed optimized particle swarm algorithm has high convergence accuracy and strong search capability. Also, the two major market players are used as research objects to establish an actual “Wind Turbine - Energy Storage System - Electric Vehicle” mini-microgrid system to solve the real-time electricity price problem. A comparative analysis of the model is carried out utilizing an example verification.